Angelo F. Gigante , Mark Hallett , Hyder A. Jinnah , Alfredo Berardelli , Joel S. Perlmutter , Brian D. Berman , Joseph Jankovic , Tobias Bäumer , Cynthia Comella , Tommaso Ercoli , Daniele Belvisi , Susan H. Fox , Han-Joon Kim , Emile Sami Moukheiber , Sarah Pirio Richardson , Anne Weissbach , Antonella Muroni , Giovanni Defazio
{"title":"特发性眼睑痉挛的运动和精神因素分析及聚类。","authors":"Angelo F. Gigante , Mark Hallett , Hyder A. Jinnah , Alfredo Berardelli , Joel S. Perlmutter , Brian D. Berman , Joseph Jankovic , Tobias Bäumer , Cynthia Comella , Tommaso Ercoli , Daniele Belvisi , Susan H. Fox , Han-Joon Kim , Emile Sami Moukheiber , Sarah Pirio Richardson , Anne Weissbach , Antonella Muroni , Giovanni Defazio","doi":"10.1016/j.parkreldis.2024.107241","DOIUrl":null,"url":null,"abstract":"<div><h3>Introduction</h3><div>Idiopathic blepharospasm is a clinically heterogeneous form of focal dystonia, also associated with psychiatric symptoms. The identification of the most relevant sets of motor and psychiatric manifestations may help better understand the specific phenomenology of the condition and delineate blepharospasm subtypes more accurately.</div></div><div><h3>Methods</h3><div>Patients with idiopathic blepharospasm were from the Dystonia Coalition project. Factor analysis of several motor and psychiatric scales was performed to identify the relevant determinants of blepharospasm severity. The selected items were then used in a data-driven cluster analysis to subtype blepharospasm individuals.</div></div><div><h3>Results</h3><div>Factor analysis reduced the many variables in the motor and psychiatric scales to 13 variables distributed in four factors. When the four sets were used as clustering variables, three blepharospasm clusters were identified: cluster 1 was characterized by low levels of motor and psychiatric factors; cluster 2 showed high levels of both motor and psychiatric factors; and cluster 3 showed high levels of psychiatric factors (similar to cluster 2) but low level of motor factors (similar to that of cluster 1).</div></div><div><h3>Conclusions</h3><div>Factor analysis enabled the identification of key motor and psychiatric determinants of blepharospasm severity. The derived factor sets provide a streamlined tool for predicting and measuring these dimensions. This approach also facilitated more precise cluster analysis and improved recognition of clinical subtypes.</div></div>","PeriodicalId":19970,"journal":{"name":"Parkinsonism & related disorders","volume":"131 ","pages":"Article 107241"},"PeriodicalIF":3.1000,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Factor analysis and clustering of motor and psychiatric dimensions in idiopathic blepharospasm\",\"authors\":\"Angelo F. Gigante , Mark Hallett , Hyder A. Jinnah , Alfredo Berardelli , Joel S. Perlmutter , Brian D. Berman , Joseph Jankovic , Tobias Bäumer , Cynthia Comella , Tommaso Ercoli , Daniele Belvisi , Susan H. 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The selected items were then used in a data-driven cluster analysis to subtype blepharospasm individuals.</div></div><div><h3>Results</h3><div>Factor analysis reduced the many variables in the motor and psychiatric scales to 13 variables distributed in four factors. When the four sets were used as clustering variables, three blepharospasm clusters were identified: cluster 1 was characterized by low levels of motor and psychiatric factors; cluster 2 showed high levels of both motor and psychiatric factors; and cluster 3 showed high levels of psychiatric factors (similar to cluster 2) but low level of motor factors (similar to that of cluster 1).</div></div><div><h3>Conclusions</h3><div>Factor analysis enabled the identification of key motor and psychiatric determinants of blepharospasm severity. The derived factor sets provide a streamlined tool for predicting and measuring these dimensions. This approach also facilitated more precise cluster analysis and improved recognition of clinical subtypes.</div></div>\",\"PeriodicalId\":19970,\"journal\":{\"name\":\"Parkinsonism & related disorders\",\"volume\":\"131 \",\"pages\":\"Article 107241\"},\"PeriodicalIF\":3.1000,\"publicationDate\":\"2025-02-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Parkinsonism & related disorders\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1353802024012537\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"CLINICAL NEUROLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Parkinsonism & related disorders","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1353802024012537","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"CLINICAL NEUROLOGY","Score":null,"Total":0}
Factor analysis and clustering of motor and psychiatric dimensions in idiopathic blepharospasm
Introduction
Idiopathic blepharospasm is a clinically heterogeneous form of focal dystonia, also associated with psychiatric symptoms. The identification of the most relevant sets of motor and psychiatric manifestations may help better understand the specific phenomenology of the condition and delineate blepharospasm subtypes more accurately.
Methods
Patients with idiopathic blepharospasm were from the Dystonia Coalition project. Factor analysis of several motor and psychiatric scales was performed to identify the relevant determinants of blepharospasm severity. The selected items were then used in a data-driven cluster analysis to subtype blepharospasm individuals.
Results
Factor analysis reduced the many variables in the motor and psychiatric scales to 13 variables distributed in four factors. When the four sets were used as clustering variables, three blepharospasm clusters were identified: cluster 1 was characterized by low levels of motor and psychiatric factors; cluster 2 showed high levels of both motor and psychiatric factors; and cluster 3 showed high levels of psychiatric factors (similar to cluster 2) but low level of motor factors (similar to that of cluster 1).
Conclusions
Factor analysis enabled the identification of key motor and psychiatric determinants of blepharospasm severity. The derived factor sets provide a streamlined tool for predicting and measuring these dimensions. This approach also facilitated more precise cluster analysis and improved recognition of clinical subtypes.
期刊介绍:
Parkinsonism & Related Disorders publishes the results of basic and clinical research contributing to the understanding, diagnosis and treatment of all neurodegenerative syndromes in which Parkinsonism, Essential Tremor or related movement disorders may be a feature. Regular features will include: Review Articles, Point of View articles, Full-length Articles, Short Communications, Case Reports and Letter to the Editor.